DocumentCode :
2241743
Title :
Mutual information based calculation of the Precoding Matrix Indicator for 3GPP UMTS/LTE
Author :
Schwarz, Stefan ; Wrulich, Martin ; Rupp, Markus
Author_Institution :
Inst. of Commun. & Radio-Freq. Eng., Vienna Univ. of Technol., Vienna, Austria
fYear :
2010
fDate :
23-24 Feb. 2010
Firstpage :
52
Lastpage :
58
Abstract :
This paper presents an efficient method for calculating the Precoding Matrix Indicator (PMI) at the receiver. The PMI is required for MIMO precoding in the downlink of a 3GPP UMTS/LTE system. Our method is based on maximizing the mutual information between the transmitted and received symbols with respect to the precoding matrix applied at the transmitter. The advantage of this method is that it is independent of the symbol alphabet (4/16/64 QAM) and code rate applied, which are signaled by the channel quality indicator (CQI). Although this paper only focuses on the selection of the optimal PMI, such a procedure eventually allows to decouple both problems (CQI and PMI calculation), thereby reducing complexity. The proposed method also provides means to obtain the number of useful MIMO transmission layers, signaled in form of the Rank indicator (RI), by maximizing mutual information also with respect to this value. The performance of the method is evaluated utilizing an LTE downlink physical-layer simulator.
Keywords :
3G mobile communication; channel coding; computational complexity; matrix algebra; precoding; quadrature amplitude modulation; 3GPP UMTS-LTE; LTE downlink physical-layer simulator; MIMO transmission layers; channel quality indicator; complexity reduction; mutual information based calculation; precoding matrix indicator; rank indicator; receiver; symbol alphabet; 3G mobile communication; Degradation; Downlink; Feedback; MIMO; Mutual information; OFDM; Radio transmitters; Receiving antennas; Transmitting antennas; LTE; Link-Adaption; MIMO; Precoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Antennas (WSA), 2010 International ITG Workshop on
Conference_Location :
Bremen
Print_ISBN :
978-1-4244-6070-0
Electronic_ISBN :
978-1-4244-6071-7
Type :
conf
DOI :
10.1109/WSA.2010.5456388
Filename :
5456388
Link To Document :
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